Adoption of a new automated optical coherence tomography software to obtain a lipid plaque spread-out plot

Francesco Isidori, Eugenio Lella, Valeria Marco, Mario Albertucci, Yukio Ozaki, Alessio La Manna, Flavio Giuseppe Biccirè, Enrico Romagnoli, Christos V. Bourantas, Giulia Paoletti, Franco Fabbiocchi, Laura Gatto, Simone Budassi, Alessandro Sticchi, Francesco Burzotta, Nevio Taglieri, Giuseppe Calligaris, Eloisa Arbustini, Fernando Alfonso, Francesco Prati

研究成果: Article査読

抄録

Purpose: Near infrared spectroscopy–Intravascular ultrasound (NIRS-IVUS) provide a fully automated Lipid Core Burden Index (LCBI). Optical coherence tomography (OCT) is potentially capable of measuring lipid longitudinal extension in a dedicated two-dimensional LCBI spread-out plot. The present study has been designed to validate an automated approach to assess OCT images, able of providing a dedicated LCBI spread-out plot. Methods: We compared results obtained with conventional (manual) OCT, with those obtained with a novel automated OCT algorithm and with NIRS-IVUS in consecutive 40 patients. Our goal was to calculate the lipid core longitudinal extension in a dedicated two-dimensional LCBI spread-out plot. Three groups were identified according to the studied lesions: (1) culprit lesions in ACS patients (n = 16), (2) non-culprit lesions in ACS patients (n = 12) and (3) lesions in stable patients (n = 12). OCT (either manual and automated) and NIRS-IVUS assessment showed for culprit ACS plaques a more complex anatomy. Results: A strong trend for increased LCBI was found in the culprit ACS group, regardless of the adopted imaging modality (either NIRS-IVUS or automated OCT). A fair correlation was obtained for the maximum 4 mm LCBI measured by NIRS-IVUS and automated OCT (r = 0.75). The sensitivity and specificity of automated OCT to detect significant LCBI (> 400) were 90.5 and 84.2 respectively. Conclusion: We developed an OCT automated approach that can provide a dedicated lipid plaque spread-out plot to address plaque vulnerability. The automated OCT software can promote and improve OCT clinical applications for the identification of patients at risk of hard events.

本文言語English
ページ(範囲)3129-3135
ページ数7
ジャーナルInternational Journal of Cardiovascular Imaging
37
11
DOI
出版ステータスPublished - 11-2021

All Science Journal Classification (ASJC) codes

  • 放射線学、核医学およびイメージング
  • 循環器および心血管医学

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